Senior AI/ML Engineer - Predictive Modeling

Placements24; Randburg; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Generous paid time off

Professional development opportunities

Retirement savings plan

Stock options

Job summary

Placements24 seeks a Senior AI/ML Engineer in Randburg, Gauteng, to design, develop, and deploy predictive models on large datasets. You will forecast trends, optimize models for performance, and work with data scientists and stakeholders to meet analytical needs.

Strong Python expertise and ML knowledge are essential. The role emphasizes MLOps practices, model versioning, deployment, and monitoring, with opportunities to contribute to AI architecture and stay at the forefront of predictive

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 4+ years of professional experience in machine learning engineering or data science with a focus on predictive modeling.
• Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, time series analysis, and various prediction algorithms.

Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics.
• Design and implement robust data preprocessing and feature engineering pipelines.
• Evaluate model performance using appropriate metrics and conduct rigorous testing.
• Collaborate with data scientists and business stakeholders to understand analytical needs.
• Optimize models for performance, scalability, and accuracy.
• Stay current with advancements in predictive modeling techniques and AI research.
• Implement MLOps practices for model versioning, deployment, and monitoring.
• Contribute to the architectural design of AI/ML systems.
• Communicate complex findings and model insights to both technical and non-technical audiences.
• Troubleshoot and refine existing predictive models.

Skills

Strong problem-solving

Excellent communication

Collaborative

Attention to detail

Education

Master's or PhD in CS/Statistics/Math

Tools

Python

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

AWS/Azure/GCP ML services

Job description

About the Role

Our client, a leader in data-driven decision-making solutions, is looking for a Senior AI/ML Engineer specializing in predictive modeling to join their innovative team. This position, serving operations in Randburg, Gauteng , involves designing, developing, and deploying sophisticated machine learning models that forecast future trends and behaviors. You will work with large, complex datasets to build robust predictive systems that drive significant business value. The ideal candidate possesses a strong foundation in machine learning theory, hands-on experience with predictive modeling techniques, and excellent programming skills. Join our client in Randburg to leverage AI for impactful business insights.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics.
• Design and implement robust data preprocessing and feature engineering pipelines.
• Evaluate model performance using appropriate metrics and conduct rigorous testing.
• Collaborate with data scientists and business stakeholders to understand analytical needs.
• Optimize models for performance, scalability, and accuracy.
• Stay current with advancements in predictive modeling techniques and AI research.
• Implement MLOps practices for model versioning, deployment, and monitoring.
• Contribute to the architectural design of AI/ML systems.
• Communicate complex findings and model insights to both technical and non-technical audiences.
• Troubleshoot and refine existing predictive models.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 4+ years of professional experience in machine learning engineering or data science with a focus on predictive modeling.
• Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, time series analysis, and various prediction algorithms (e.g., regression, classification, ensemble methods).
• Experience with data manipulation tools and libraries (e.g., Pandas, NumB).
• Familiarity with SQL databases and data warehousing concepts.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Experience with MLOps tools and best practices.

Benefits

Our client offers a highly competitive salary and bonus structure, along with comprehensive medical, dental, and vision insurance. Employees benefit from a generous paid time off policy and numerous opportunities for professional development, including training and conference attendance. This role in Randburg, Gauteng , provides a dynamic work environment with exposure to cutting-edge AI projects. A retirement savings plan and stock options are also part of the compensation package. Our client values work-life balance and fosters a collaborative team culture. Join us and make a significant impact through predictive AI.